Dataset Viewer

The dataset viewer is not available for this subset.

Cannot get the split names for the config 'default' of the dataset.

Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 289, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/folder_based_builder/folder_based_builder.py", line 237, in _split_generators
                  raise ValueError(
              ValueError: `file_name` or `*_file_name` must be present as dictionary key (with type string) in metadata files
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 65, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 343, in get_dataset_split_names
                  info = get_dataset_config_info(
                         ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 294, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

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Parakeet vs Whisper Divergence Samples

This dataset contains 40 audio samples where Parakeet TDT v3 and Whisper (Granary pseudolabels) show significant divergence.

Purpose

Investigate why Whisper outputs blank or very short transcriptions on French VoxPopuli audio.

Issues Found

whisper_short: Whisper outputs < 2 chars/sec while Parakeet outputs > 5 chars/sec
high_wer: WER > 80% between Whisper and Parakeet transcriptions

Common Whisper Hallucinations

"Sous-titrage Société Radio-Canada" (French Canadian subtitling marker)
Very short outputs at segment boundaries

Files

audio/sample_XXX.wav - 16kHz mono audio files
metadata.jsonl - Sample metadata with both transcriptions
faster_whisper_experiments.ipynb - Colab notebook for testing faster-whisper parameters

Usage

from datasets import load_dataset
ds = load_dataset("toth235a/parakeet-whisper-divergence")

Or use the Colab notebook:

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